Systematic survey on artificial intelligence based mobile crowd sensing and sourcing solutions: Applications and security challenges-Reference-Cited by-同舟云学术

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Systematic survey on artificial intelligence based mobile crowd sensing and sourcing solutions: Applications and security challenges

Published:2024-11 Issue: Volume:164 Page:103634
ISSN:1570-8705
Container-title:Ad Hoc Networks
language:en
Short-container-title:Ad Hoc Networks

Author:

Nasser Ruba^ORCID,Mizouni Rabeb^ORCID,Singh Shakti,Otrok Hadi

Publisher

Elsevier BV

Reference113 articles.

1. A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities;Capponi;IEEE Commun. Surv. Tutor.,2019

2. Multi-worker multi-task selection framework in mobile crowd sourcing;Abououf;J. Netw. Comput. Appl.,2019

3. A machine learning-based framework for user recruitment in continuous mobile crowdsensing;Nasser;Ad Hoc Netw.,2023

4. Fuzzy Q-learning-based opportunistic communication for MEC-enhanced vehicular crowdsensing;Nguyen;IEEE Trans. Netw. Serv. Manag.,2022

5. A survey of mobile crowdsensing techniques: A critical component for the internet of things;Liu;ACM Trans. Cyber Phys. Syst.,2018

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